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Drones, DNA, and weather: A phase-oriented hybrid engine predicts sugar beet disease
- April 7, 2026 at 6:00 PM
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A fungus that can wipe out up to 50% of a sugar beet crop may soon meet its match in a new generation of smart disease forecasting. A new study published in Phytopathology shows how combining drone imagery, weather data, and qPCR-based airborne spore monitoring can reveal where disease is present and what the pathogen is likely to do next—giving growers a critical edge in timing control measures.
Originally published at Phys.org